5 September 2008 Optimal granule ordering for lossless compression of ultraspectral sounder data
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Abstract
We propose a novel method for lossless compression of ultraspectral sounder data. The method utilizes spectral linear prediction and the optimal ordering of the granules. The prediction coefficients for a granule are computed using prediction coefficients that are optimized using a different granule. The optimal ordering problem is solved using Edmonds's algorithm for optimume branching. The results show that the proposed method outperforms previous methods on publicly available NASA AIRS data.
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Jarno Mielikainen, Jarno Mielikainen, Pekka Toivanen, Pekka Toivanen, } "Optimal granule ordering for lossless compression of ultraspectral sounder data", Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 708404 (5 September 2008); doi: 10.1117/12.795260; https://doi.org/10.1117/12.795260
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